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SUMMARY:Omega: flexible\, scalable schedulers for large compute clusters -
  Malte Schwarzkopf  (University of Cambridge)
DTSTART:20130410T120000Z
DTEND:20130410T130000Z
UID:TALK43908@talks.cam.ac.uk
CONTACT:Eiko Yoneki
DESCRIPTION:Increasing scale and the need for rapid response to changing r
 equirements are hard to meet with current monolithic cluster scheduler arc
 hitectures. This restricts the rate at which  new features can be deployed
 \, decreases efficiency and utilization\, and will eventually limit clust
 er growth. In this talk\, I will present  a novel approach to address thes
 e needs using parallelism\,  shared state\, and lock-free optimistic concu
 rrency control.  I will compare this approach to existing cluster schedule
 r  designs\, evaluate how much interference between schedulers  occurs and
  how much it matters in practice\, present some  techniques to alleviate i
 t\, and finally discuss a use case highlighting the advantages of the sha
 red-state approach – all driven by real-life Google production workloads
 .\n\nNote that this is a practice talk on the EuroSys 2013 paper on my wor
 k done while interning at Google in 2011/12.\n
LOCATION:LT2\, Computer Laboratory\, William Gates Builiding
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